Chen-Tseh Zhu

666 citations
12 papers · 454 indexed · h-index 10
Topics
Genetics, Aging, and Longevity in Model Organisms (6 papers)Circadian rhythm and melatonin (3 papers)Neurobiology and Insect Physiology Research (3 papers)
Partner nations
United StatesGreeceChina

In The Last Decade

Chen-Tseh Zhu

12 papers receiving 451 citations

Peers

Chen-Tseh Zhu
Comparison fields: 5 of 62
  • Molecular Biology 211
  • Genetics 180
  • Ecology 120
  • Cellular and Molecular Neuroscience 95
  • Aging 89
Replace Hiroko Udaka with:
Hiroko Udaka Japan
David M. Rivers United States
Marisa A Rodrigues Switzerland
Heidy Contreras United States
Corinna Hopfen Austria
Rita M Graze United States
Satya P. Chinta United States
Diogo Manoel United States
E.W. Gutteling Netherlands
Nick Reeves United States
Chen-Tseh Zhu relative to Hiroko Udaka Japan Hiroko Udaka's profile →
Citations per field
00.5×3.0×
Hiroko Udaka · 1×
Citations per year

Countries citing papers authored by Chen-Tseh Zhu

Since Specialization
Citations

This map shows the geographic impact of Chen-Tseh Zhu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chen-Tseh Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen-Tseh Zhu more than expected).

Fields of papers citing papers by Chen-Tseh Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen-Tseh Zhu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chen-Tseh Zhu. The network helps show where Chen-Tseh Zhu may publish in the future.

Co-authorship network of co-authors of Chen-Tseh Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Chen-Tseh Zhu. A scholar is included among the top collaborators of Chen-Tseh Zhu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chen-Tseh Zhu. Chen-Tseh Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 3
2 10
3 12
4 12
5 112
6 17
7
How to measure lethargus quiescence without monopolizing the dissection microscopes in your lab
1
8 26
9 133
10 68
11 29
12 31

About Chen-Tseh Zhu

Chen-Tseh Zhu is a scholar working on Aging, Endocrine and Autonomic Systems and Geriatrics and Gerontology, having authored 12 papers that have together received 454 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Circadian rhythm and melatonin (3 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Aging (89 citations), Genetics (180 citations) and Cellular and Molecular Neuroscience (95 citations). Chen-Tseh Zhu has collaborated with scholars based in United States, Greece and China. Frequent co-authors include David M. Rand, Walter F. Eanes, Thomas Merritt, Paul Schmidt, Li Yang, Luciano M. Matzkin, Xiaobin Zeng, Weida Huang, Efe Sezgın and Huiyan Huang. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Genetics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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